GIRLS, a Gateway for Interoperability of electronic health Record in Low-cost System : * Interoperability beetween FHIR and OpenEHR Standards

Clinical information about patients should be consistent, complete and available to health professionals, ensuring quality care. This information is recorded on paper or on electronically-stored in a digital format. A few years ago, both Brazilian government and private healthcare providers invested in Information and Communication Technology to replace paper medical record with Electronic Medical Record (EMR). Nowadays, EMRs are evolving into Electronic Health Record (EHR), which allows for interoperability between different systems. While brazilian public health system recommends the OpenEHR standard as an information model for EHR, private providers in Brazil have adopted the HL7 FHIR standard. This article proposes the GIRLS, a low-cost gateway for EHR interoperability that uses both standards. As proof of concept, a chikungunya OpenEHR archetype and an equivalent FHIR feature have been implemented. This archetype is available to the Clinical Knowledge Manager (CKM), the largest online repository of archetypes on the Web.

[1]  Mauro Oliveira,et al.  MARCIA: Applied Clinical Record Management : Eletronic Health Record Applied with EHRServer , 2018, 2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom).

[2]  Heather Leslie.  International Developments in OpenEHR Archetypes and Templates , 2008, Health information management : journal of the Health Information Management Association of Australia.

[3]  Hilton Vicente César.  OpenEHR-based pervasive health information system for primary care: First Brazilian experience for public care , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[4]  Tim Benson,et al.  Principles of Health Interoperability HL7 and SNOMED , 2009 .

[5]  Sebastian Garde,et al.  Towards Semantic Interoperability for Electronic Health Records , 2007, Methods of Information in Medicine.

[6]  K. Shadan,et al.  Available online: , 2012 .

[7]  Rafael Port da Rocha,et al.  Interoperabilidade Semântica do Prontuário Eletrônico do Paciente , 2003 .

[9]  Sam Heard,et al.  Archetype Definitions and Principles , 2003 .

[10]  Dipak Kalra,et al.  The openEHR Foundation. , 2005, Studies in health technology and informatics.

[11]  Rishi Saripalle,et al.  Using HL7 FHIR to achieve interoperability in patient health record , 2019, J. Biomed. Informatics.

[12]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[13]  Marcia Narumi Shiraishi Kondo.  Mapeamento da base de conhecimento fundamentado em arquétipos: contribuição à informática em saúde. , 2012 .

[14]  Danna Zhou,et al.  d. , 1934, Microbial pathogenesis.

[15]  Kamran Sartipi,et al.  HL7 FHIR: An Agile and RESTful approach to healthcare information exchange , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[16]  Mark L. Braunstein,et al.  Health Informatics on FHIR: How HL7's New API is Transforming Healthcare , 2018, Springer International Publishing.